Banilla Knives

A mod that adds vanilla-styled knives.

676 Downloads

fabricequipment

Rent Server with this Mod

Screenshots

About this Mod

A mod that adds vanilla-styled knives!

50% chance to bleed on hit

If both hands have knives of the same type, then damage * 2

Backstab with a knife, increases damage by 1.75

Different knives and mod support!

Knives have little bit more speed than swords and low damage.

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Available Versions

Banilla Knivesrelease

MC 1.19fabric

June 21, 2022

Banilla Knivesrelease

MC 1.18.2fabric

June 21, 2022

Banilla Knivesrelease

MC 1.18.2fabric

June 6, 2022

How to Install Banilla Knives on Your Server

Order Server

Order a Minecraft Java server with at least 3 GB RAM (4 GB recommended).

Set fabric Loader

In the panel under "Egg", select the fabric loader and matching Minecraft version (1.19).

Install Mod

Open the mod browser in the dashboard and search for "Banilla Knives". Click "Install" – done! Alternatively, upload the .jar via SFTP to the /mods folder.

Compatibility

Mod Loaders

fabric

Minecraft Versions

1.19, 1.18.2

Server-side

✓ Required

Recommended RAM

4 GB(min. 3 GB)

Frequently Asked Questions

Banilla Knives server crashes on startup – what to do?

Most common cause: wrong fabric version or insufficient RAM. Check the server log (latest.log) for "OutOfMemoryError" or "Mixin" errors. With Mado Hosting: ensure at least 3 GB RAM is allocated and the loader matches the mod version (1.19). You can switch loaders with one click in the panel.

Is Banilla Knives compatible with fabric?

Banilla Knives officially supports fabric for Minecraft 1.19, 1.18.2. The Mado dashboard automatically detects incompatible loader combinations.

Server lagging with Banilla Knives – how to optimize performance?

Recommended RAM: 4 GB (per 8 players). Use /spark profiler to check if Banilla Knives consumes the most tick time. Common fixes: reduce server view-distance to 8-10, install "performant" or "starlight" as supplementary mods on Forge. With Mado Hosting, your server runs on NVMe SSDs with dedicated CPU cores for minimal latency.